Introduction With the ingress of Hadoop in 2006, Apache gained momentum and began to deal with unstructured data such as audio, video, GIFs, machine learning training data, or data coming from the social media content, unapproved biological data. Over the ...
Introduction Often Spark is mistaken for Hadoop by data analysts and data scientists and vice-versa, the two terms are distinct and have an extensively broad meaning. Although, the field of Spark is analogous to that of Hadoop, yet there is ...
Introduction There are several approaches for developing code in programming languages. But the two most popular and important ones are object-oriented programming and procedural programming. Both programming styles are meant to be understood properly as they have become quite popular ...
Big data analysis is the future of technology and analytical research. Big data analysis deals with large data set which helps in determining patterns and trends in business. Imagine how useful it would be for finance, marketing and other kinds ...
